# Pallavi Gupta

> Staff Product Designer @ Productboard | Previously at Amazon Alexa AI and AGI

Location: San Jose, California, United States
Profile: https://flows.cv/pallavigupta

I'm an engineer-turned-designer who's spent 10+ years making AI technology feel human. From Amazon's 300M+ user landing screen to zero-to-one generative AI products, I design where strategy meets execution—turning technical complexity into experiences that drive real business impact. I lead with conviction in the messy early stages, where the problem space is unclear and design has to chart the path forward. 

Currently open to senior UX and design leadership roles shaping AI's next chapter.

## Work Experience
### Staff Product Designer @ Productboard
Jan 2026 – Present | San Francisco, California, United States

### Senior User Experience Designer @ Amazon
Jan 2021 – Jan 2026 | San Francisco Bay Area
Amazon Shopping & Product Discovery (Amazon App)

• Designed product discovery features for Amazon App's landing screen serving 350M+ active users globally; integrated into Amazon Stores Design System
• Simplified shopping experience driving $600M+ in sales and 16% homepage engagement increase

Alexa AI & Amazon Generative AI (0→1 Product Launch)

• Launched Alexa+ web experience, Amazon’s generative AI assistant, reaching 100K+ active users in early access across web, mobile, and desktop platforms
• Led design of Alexa's multimodal English learning app for Spain, U.S., & Mexico markets; achieved 250K MAUs, 3M+ interactions, and 4.0/5.0 rating on the Alexa App Store; collaborated with 7 teams & external partners; presented work to VPs

### User Experience Designer II @ Amazon Web Services (AWS)
Jan 2020 – Jan 2021 | San Francisco Bay Area
Led design, research, and strategy for meetings platform serving 1M+ employees; drove 40% increase in meeting efficiency and grew MAU by 100K; and received Amazon Accessibility Award for Internal Products (2021) for inclusive design excellence

### Product Designer II @ Sumo Logic
Jan 2018 – Jan 2020 | San Francisco Bay Area
• Led design for security analytics and threat intelligence platform (cloud SIEM); supported Sumo Logic's growth from Series C to $2.17B IPO
• Redesigned query builder reducing query time by 50%, increasing query volume by 40%, and improving NPS by 20 percentage points; increased daily active users by 25%

### UX Designer @ University of Michigan College of Engineering
Jan 2018 – Jan 2018 | Ann Arbor, Michigan, United States
• Assisted CRLT-Engin with Diversity Equity and Inclusion efforts within the STEM fields by focusing on the design and development of the Institute's evidence-based diversity equity and inclusion website
• Created high-fidelity mockups of various DE&I pages based on data from focus groups, unstructured interviews, card sorting and affinity mapping guidelines

### Graduate Teaching Assistant @ University of Michigan
Jan 2017 – Jan 2017 | Ann Arbor, Michigan, United States
• Led a discussion section for the undergraduate "Interaction Design Studio" class with 60+ students
• Provided constructive design feedback and facilitated design critique sessions
• Graded design deliverables and provide feedback to students

### User Experience Designer @ Sumo Logic
Jan 2017 – Jan 2017 | San Francisco Bay Area
• Designed and delivered end-to-end features to enhance log search user experience in the product
• Designed north-star vision concepts for Sumo Omnibox, a contextual product search feature that spans logs, metrics, dashboards and admin controls for users

### Research Assistant @ University of Michigan
Jan 2016 – Jan 2017 | Ann Arbor, Michigan
• Investigated and designed next generation user interfaces for 3D gesture-based rapid prototyping AR environments using Wizard of Oz and crowdsourcing approaches
• Recruited research participants via Amazon Mechanical Turk for gesture identification research tasks

### Senior Software Engineer @ Samsung Research India
Jan 2014 – Jan 2016 | Bangalore
• Built and maintained core NLP backend infrastructure supporting 8 languages and 10+ domains for Samsung's conversational AI platform; achieved 95% intent classification accuracy at <100ms latency serving 10M+ users
• Designed and shipped context-aware voice solution for Bixby, Samsung’s AI voice assistant processing 2M+ daily interactions; improved user satisfaction by 15%

### Software Engineer Intern @ Samsung Electronics
Jan 2014 – Jan 2014
Developed a Linux kernel (3.4) debug module and a data visualization tool for CPU-profiling that helped optimise power usage by 40% for the System Software and SoC Division

### Software Engineer Intern @ India Innovation Labs
Jan 2012 – Jan 2012
Proposed an image stitching procedure to develop 3D models of objects by fusion of depth maps from multiple Microsoft Kinects


## Education
### Master’s Degree in MSI (Human Computer Interaction)
University of Michigan

### B.E. in Computer Science and Engineering
RV College Of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/pallavi05g
- Portfolio: https://pallavi05g.github.io/

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Source: https://flows.cv/pallavigupta
JSON Resume: https://flows.cv/pallavigupta/resume.json
Last updated: 2026-04-13